This paper presents a method for extracting multi-organs from four-phase contrasted CT images taken at different
contrast timings (non-contrast, early, portal, and late phases). First, we apply a median filter to each CT image
and align four-phase CT images by performing non-rigid volumetric image registration. Then, a three-dimensional
joint histogram of CT values is computed from three-phase (early-, portal-, and late-) CT images. We assume
that this histogram is a mixture of normal distributions corresponding to the liver, spleen, kidney, vein, artery,
muscle, and bone regions. The EM algorithm is employed to estimate each normal distribution. Organ labels
are assigned to each voxel using the mahalanobis distance measure. Connected component analysis is applied
to correct the shape of each organ region. After that, the pancreas region is extracted from non-contrasted CT
images in which other extracted organs and vessel regions are excluded. The EM algorithm is also employed for
estimating the distribution of CT values inside the pancreas. We applied this method to seven cases of four-phase
CT images. Extraction results show that the proposed method extracted multi-organs satisfactorily.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.